Blazingly fast image copyright enforcement

ABSTRACT

Many photo agencies use the web to sell access to their image collections. Despite significant security measures, images may be stolen and distributed, making it necessary to detect copyright violations. This demonstration paper describes a content-based system for large-scale automatic copyright enforcement. The paper briefly describes the image description, indexing and retrieval algorithm that lie at the heart of the system. It also describes our proposed demonstration, which is a realistic scenario of copyright violations of a large image collection.

REFERENCES

• 1: Herwig Lejsek , Fridrik H. Ásmundsson , Björn Thór Jónsson , Laurent Amsaleg, Scalability of local image descriptors: a comparative study, Proceedings of the 14th annual ACM international conference on Multimedia, October 23-27, 2006, Santa Barbara, CA, USA [doi>10.1145/1180639.1180760]
• 2: David G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, v.60 n.2, p.91-110, November 2004 [doi>10.1023/B:VISI.0000029664.99615.94]
• 3: Ronald Fagin , Ravi Kumar , D. Sivakumar, Efficient similarity search and classification via rank aggregation, Proceedings of the 2003 ACM SIGMOD international conference on Management of data, June 09-12, 2003, San Diego, California [doi>10.1145/872757.872795]
• 4: F. H. smundsson. NV-Network: A distributed architecture for high throughput image retrieval. Master's thesis, Reykjavk University, August 2006.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.4 Systems
          Subjects: Multimedia databases

General Terms:
Algorithms, Performance

Keywords:
NV-tree, copyright protection